109 Academic Year (2020 Admission) NDHU CSIE International Master Program Planning
NDHU Course Planning Query System: https://sys.ndhu.edu.tw/aa/class/RuleSearch/rulebasic.aspx
University Requirements:
See Academic Regulations (學則) of NDHU.
General Requirements:
Minimum Graduation Requirements:30 credits
Compulsory Courses: 6 Credits
Elective Courses: 24 Credits from courses, plus Thesis (I), (II), Seminar (III), (IV)
Important Rules and Regulations:
- At least half (1/2) of the courses studied must be offered by the Department of Computer Science & Information Engineering.
- Master’s students may select any Master and/or Ph.D. level courses to study; the course credits can be counted toward graduation.
- Credits earned in courses of the same name offered by other departments or institutes may be substituted (up to 12 credits maximum) toward elective course requirements with the approval of the Departmental Graduate Studies Committee. Credits earned from CSIE courses are exempted from the credit substitution limit.
- Each Master student must select “Special Topic Lecture” (I), (II), (III) and (IV) course each semester or until graduation. Only the credits from “Special Topic Lecture” (I) and (II) can be counted toward the graduation. For 3+2 Program Quasi-Master students regarding this class, please refer its own regulation.
- Each master student must select “Thesis” course every semester while in program or until graduation. At most 4 credits earned by this course can be counted toward the graduation.
- All students must fulfill the English Proficiency Requirement for Graduate Students in order to graduate.
- All students must pass the Primary Programming Proficiency Exam in order to graduate.
- In addition to this requirement, all scholarship awardees must follow the scholarship regulations and requirements to complete the degree.
- All Master/Ph.D students shall Take and Pass the “Academic Research Ethics Education Curriculum” from the “Taiwan Academic Ethics Education Resource Center” online platform. Please come to the CSIE Department Office to register this class and present the qualified certificate. All Master/Ph.D students must pass this requirement before Oral Defense Exam. (本學年度起入學之本系研究所學生,須於入學後之第一學期選課期間,至系辦登記修習「臺灣學術倫理教育資源中心」線上平台之「學術研究倫理教育課程」,須通過線上課程測驗成績達及格標準,並出示修課證明始得申請學位考試。未通過者,須於申請學位考試前補修完成,未完成本課程者,不得申請學位考試)
Compulsory Courses: 6 Credits | ||||
Course Title | English Course Title | Course Code | Credit | Remark |
論文研究 | Thesis | CSIEM0400 | 2.0 | Compulsory every semester |
專題講座(一) | Special Topic Lecture (Ⅰ) | CSIEM0020 | 1.0 | First grade required |
專題講座(二) | Special Topic Lecture (Ⅱ) | CSIEM0080 | 1.0 | First grade required |
Elective Courses: 24 Credits | ||||
Course Title | English Course Title | Course Code | Credit | Remark |
影像處理 | Image Processing | CSIEM0180 | 3.0 | |
數位訊號處理 | Digital Signal Processing | CSIE@0630 | 3.0 | |
高等電腦視覺 | Advanced Computer Vision | CSIE@0670 | 3.0 | |
虛擬實境 | Virtual Reality | CSIE@0610 | 3.0 | |
高等計算機圖學 | Advanced Computer Graphics | CSIE@0600 | 3.0 | |
高等電腦繪圖系統設計 | Advanced Computer Graphics System Design | CSIE@0660 | 3.0 | |
人工智慧 | Artifical Intelligence | CSIEM0270 | 3.0 | |
計算生物學 | Computational Biology | CSIEM0320 | 3.0 | |
柔性計算系統實務 | Realization of Soft Computing Systems | CSIEM0370 | 3.0 | |
智慧行動應用設計 | Smart Mobile Application Design | CSIE@0770 | 3.0 | |
高等資訊檢索 | Advanced Information Retrieval | CSIEM0420 | 3.0 | |
資料探勘 | Data Mining | CSIEM0240 | 3.0 | |
機器學習 | Machine Learning | CSIEM0170 | 3.0 | |
深度學習基石與實務 | Foundation and Practice of Deep Learning | CSIEM0310 | 3.0 | Original name: Neural Networks |
大數據分析 | Big Data Analytics | CSIEM0350 | 3.0 | |
計算理論 | Theory of Computation | CSIE@0620 | 3.0 | |
高等演算法 | Advanced Algorithms | CSIEM0430 | 3.0 | |
圖型識別 | Pattern Recognition | CSIEM0230 | 3.0 | |
智慧型系統設計 | Intelligent System Design | CSIEM0460 | 3.0 | |
專案管理 | Project Management | CSIEM0470 | 3.0 | |
語音處理與辨識 | Speech Processing and Recognition | CSIE@0720 | 3.0 | |
大數據系統 | Big Data Systems | CSIEM0410 | 3.0 | |
最佳化方法與應用 | Optimization methods and applications | CSIEM0380 | 3.0 | |
電腦視覺與深度學習 | Deep Learning in Computer Vision | CSIE@0830 | 3.0 | |
推薦系統 | Recommender System | CSIEM0520 | 3.0 | |
超大型積體電路設計 | Very large integrated circuit design | CSIEM0480 | 3.0 | Original name: Application-Specific Integrated Circuits Design |
嵌入式系統軟體設計 | Software Development for Embedded Systems | CSIE@0690 | 3.0 | |
無線網際網路 | Wireless Internet | CSIEM0160 | 3.0 | |
電腦網路與通訊 | Computer Networks and Communications | CSIEM0250 | 3.0 | Original name: Personal Communications Network |
資訊安全管理系統 | Information Security Management System | CSIEM0390 | 3.0 | |
平行計算 | Parallel Computing | CSIEM0290 | 3.0 | |
雲端計算 | Cloud Computing | CSIEM0060 | 3.0 | |
高等圖形理論 | Advanced Graph Theory | CSIEM0280 | 3.0 | |
物件導向式軟體工程 | Object-Oriented Software Engineering | CSIEM0260 | 3.0 | |
LoRa網路程式設計服務 | LoRaWAN program design and service | CSIEM0330 | 3.0 | |
系統晶片設計專題 | Special Topics on System-on-Chip Design | CSIEM0500 | 3.0 | |
區塊鏈原理與應用 | BlockChain Principle and Application | CSIEM0440 | 3.0 | |
高等編譯程式 | Advanced Compilers | CSIEM0490 | 3.0 | Original name: Advanced Compiler Theory |
高等程式語言 | Advanced Programming Languages | CSIEM0150 | 3.0 | |
下一代網際網路 | Next Generation Internets | CSIEM0120 | 3.0 | |
密碼學 | Cryptography | CSIEM0300 | 3.0 | |
高等資料庫系統 | Advanced Database System | CSIEM0070 | 3.0 | |
錯誤控制碼理論 | Error Control Coding | CSIE@0700 | 3.0 | |
分散式系統 | Distributed Systems | CSIEM0140 | 3.0 | |
作業系統工程 | Operating system engineering | CSIEM0360 | 3.0 | |
數位學習科技 | Digital Learning Technology | CSIEM0450 | 3.0 | |
異質無線網路漫遊與換手技術 | Roaming and Handoff Technologies of Heterogeneous Wireless Networks | CSIE@0790 | 3.0 | |
最佳化與決策專題 | Topics on optimization and decision making | CSIEM0050 | 3.0 | |
網路服務與應用 | Network services and applications | CSIE@0800 | 3.0 | |
高等應用統計學 | Advanced Applied Statistics | CSIEM0510 | 3.0 | |
智慧型數位學習 | Intelligent digital learning | CSIE@0820 | 3.0 | |
柔性計算 | Soft Computing | CSIEM0130 | 3.0 | |
數位學習專論 | Advanced Digital Learning | CSIEM0340 | 3.0 | |
*Others | / | |||
專題講座(三) | Special Topic Lecture (Ⅲ) | CSIEM0040 | 1.0 | Second grade required |
專題講座(四) | Special Topic Lecture (Ⅳ) | CSIEM0090 | 1.0 | Second grade required |
科技英文寫作 | Science and Technical Writing | CSIE@0750 | 3.0 |